Senior Data Engineer – Cloud-Based Data Pipelines Development at blithequark

Are you a highly skilled and experienced data engineer looking to join a dynamic team and contribute to the development of cloud-based data pipelines on AWS? Do you have a passion for working with big data, machine learning, and cloud computing? If so, we invite you to apply for the Senior Data Engineer position at blithequark.

About blithequark

blithequark is a leading company in the industry, known for its commitment to innovation, customer satisfaction, and employee well-being. Our company culture is built on a foundation of core values, including Care, Honesty, Strength, Employee Administration, and Collaboration. We believe in empowering our employees to achieve their full potential and provide them with the tools, resources, and support they need to succeed.

Job Summary

We are seeking a highly experienced and skilled Senior Data Engineer to join our team and help us design, develop, and maintain our event-driven data pipelines on AWS. The ideal candidate will have a deep understanding of AWS local event-driven services, such as Amazon EventBridge, AWS Lambda, and AWS Step Functions. They will also have experience with data engineering best practices, including data modeling, data quality, and data security. Additionally, the candidate should have experience with Python, NoSQL, and Kinesis.

Key Responsibilities

As a Senior Data Engineer at blithequark, you will be responsible for:

• Designing, developing, and maintaining event-driven data pipelines on AWS
• Collaborating with cross-functional teams to understand and define data requirements
• Performing data quality checks and monitoring
• Optimizing data pipelines for execution and cost
• Staying up-to-date on the latest AWS advancements
• Developing and implementing personalization algorithms using Python and Pydantic models
• Building and maintaining DynamoDB tables and NoSQL databases
• Using Amazon Kinesis to collect, process, and analyze streaming data

Advantages and Benefits

At blithequark, we offer a comprehensive benefits package that includes:

• Competitive salary and bonus structure
• 401(k) with generous company matching up to 9%
• Paid time off, including vacation, holidays, and paid personal time
• Comprehensive health benefits, including medical, dental, vision, short-term and long-term disability, and life insurance
• Family care support through fertility assistance, surrogacy and adoption support, lactation support, and programs that help with family care in all stages
• Comprehensive wellness programs to support physical, mental, social, and financial well-being, including access to a employee assistance program, free financial education, and extensive resources supporting mental health
• Domestic and international flight privileges for employees and qualified family members
• Professional development opportunities to achieve your long-term career goals
• Inclusive and diverse work environment with opportunities to participate in community service and sustainability initiatives
• Recognition rewards and grants through the platform Relentless Together
• Access to over 500 discounts, specialty savings, and deliberate benefits through Deltaperks, including vehicle and lodging rentals, auto, home, and pet insurance, legal services, and childcare

Requirements

To be successful in this role, you will need to have:

• A bachelor's degree in computer science, data science, or a related field
• 3+ years of experience in data engineering
• Strong understanding of AWS local event-driven services
• Experience with data modeling, data quality, and data security
• Experience with Python and serverless technologies
• Excellent critical thinking and problem-solving skills
• Ability to work independently and as part of a team
• Experience with personalization, Python, Pydantic models, DynamoDB, and NoSQL
• Experience with Amazon Kinesis

Preferred Qualifications

While not required, the following qualifications will give you an upper hand:

• Master's degree in computer science, data science, or a related field
• 5+ years of experience in data engineering
• Strong experience with cloud-based data pipelines
• Experience with machine learning and artificial intelligence
• Strong understanding of data governance and compliance

How to Apply

If you are a motivated and experienced data engineer looking to join a dynamic team and contribute to the development of cloud-based data pipelines on AWS, please submit your application through our website. We look forward to hearing from you! Apply Now! Apply for this job